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Resource Sharing in QPN-based Performance Models

Publication at Faculty of Mathematics and Physics |
2008

Abstract

Performance models of enterprise software systems allow predicting performance of the system in early development phases. The durations of atomic actions needed to solve the model can be significantly influenced by resource sharing, capturing this influence in the model is however difficult and often omitted.

This paper bases upon our previous solution that uses separate resource and performance models and proposes a method of integrating these models at the tool level in the SimQPN Queuing Petri net simulator. The benefits include significantly shorter duration of the analysis and the possibility to create more accurate resource models.